Pinned Repositories
Cervical-Cancer-Risk-Factors-for-Biopsy
EfficientNet-
A PyTorch implementation of EfficientNet
Elliot
A pentesting tool inspired by mr robot and derived by zphisher
flask_app
:smiley_cat: Pretty&simple image classifier app template. Deploy your own trained model or pre-trained model (VGG, ResNet, Densenet) to a web app using Flask in 10 minutes.
ganhacks
starter from "How to Train a GAN?" at NIPS2016
Image-captioning
Computer Generated Image Captions
Malaria-Detection
Malaria Detection using Deep Learning
Open-source-documentation
retinopathy
Retinopathy in Diabetic Patients
virtual-try-room
Virtual Fitting Room
krishnakatyal's Repositories
krishnakatyal/flask_app
:smiley_cat: Pretty&simple image classifier app template. Deploy your own trained model or pre-trained model (VGG, ResNet, Densenet) to a web app using Flask in 10 minutes.
krishnakatyal/ganhacks
starter from "How to Train a GAN?" at NIPS2016
krishnakatyal/courses
fast.ai Courses
krishnakatyal/deep-learning-pneumonia-detection-web-app
A flask/gunicorn based Heroku web app for pneumonia detection
krishnakatyal/malaraia_app_render
Starter app for fastai v3 model deployment on Render
krishnakatyal/awesome-resources-for-indic-nlp
krishnakatyal/nlp-for-punjabi
First ever, State of the Art Tokenizer, Language model and Classifier for punjabi language (spoken in Indian sub-continent)
krishnakatyal/Deeplearning-digital-pathology
Full package for applying deep learning to virtual slides.
krishnakatyal/dermatologist-ai
krishnakatyal/im2latex
Image to LaTeX (Seq2seq + Attention with Beam Search) - Tensorflow
krishnakatyal/Optic-Disk-Cup-Segmentation
Optic Disc and Optic Cup Segmentation using 57 layered deep convolutional neural network
krishnakatyal/optic-nerve-cnn
Code repository for a paper "Optic Disc and Cup Segmentation Methods for Glaucoma Detection with Modification of U-Net Convolutional Neural Network"
krishnakatyal/RE-2-Language
An assembler + interpreter for a 16-bit esoteric architecture.
krishnakatyal/Text-Classification-Pytorch
Text classification using deep learning models in Pytorch